258 citations · 2.4k across the 118 of their papers we have counts for
9 papers · 1 filter
Learning and Control Beyond Linearity: Towards a Non-asymptotic Theory for Bilinear Systems
Yahya Sattar, Yassir Jedra, Robin Strässer +3
This tutorial provides a unified view of the emerging area of bilinear learning and control. Using linear systems as a benchmark, it explains what fundamentally changes in the bili…
Comparing Controller Synthesis Methods with Deadline-Miss Awareness
Melanie Gallant, Marc Seidel, Paolo Pazzaglia +5
This paper presents a comparative study of real-time controller design methods for dynamical control systems subject to deadline overruns. Numerous techniques have been proposed to…
Event-Triggered Discrete-Time Multivariable Extremum Seeking Systems
Victor Hugo Pereira Rodrigues, Tiago Roux Oliveira, Miroslav Krstić +1
This paper introduces a discrete-time event-triggered extremum seeking framework for real-time optimization of multivariable nonlinear systems. In contrast to conventional discrete…
Verifiable computations for dynamic encrypted control
Sebastian Schlor, Frank Allgöwer
Encrypted control can preserve the privacy of data and parameters while the necessary computations can be outsourced to a cloud server. To ensure the integrity of the received valu…
Koopman meets input-output data: Data-driven output-feedback control of nonlinear systems with closed-loop guarantees
Robin Strässer, Julian Berberich, Manuel Schaller +2
Data-driven control of nonlinear systems from input-output measurements remains a fundamental challenge, as existing approaches with rigorous closed-loop guarantees predominantly r…
A Koopman Set-Membership Approach for Nonlinear Data-Driven Control with Stability Guarantees
Yifan Xie, Zuxun Xiong, Julian Berberich +2
This paper proposes a data-driven controller design method for unknown nonlinear systems based on a Koopman bilinear realization. Using Koopman operator theory, the nonlinear syste…
Data-Driven Min-Max MPC with Integral Quadratic Constraints
Yifan Xie, Julian Berberich, Frank Allgöwer
Data-driven control of nonlinear systems with rigorous guarantees is a challenging control problem. Integral quadratic constraints (IQCs) provide a powerful framework for modeling…
Beyond Bounded Noise: Stochastic Set-Membership Estimation for Nonlinear Systems
Felix Brändle, Nicolas Chatzikiriakos, Andrea Iannelli +1
In this paper, we derive a novel procedure for set-membership estimation of dynamical systems affected by stochastic noise with unbounded support. Employing a bound on the sample c…
A Controller Synthesis Framework for Weakly-Hard Control Systems
Marc Seidel, Martina Maggio, Frank Allgöwer
Deadline misses are more common in real-world systems than one may expect. The weakly-hard task model has become a standard abstraction to describe and analyze how often these miss…